семестр 1 / arr_out_opti

import os
clear = lambda: os.system('cls')
clear()
import random

seq = [[random.random() for _ in range(40)] for _ in range(10)]

def arrout_opti(array, clmni, dgnmb):
import numpy as np

s1 = ""
s2 = ""
rowcheck = False
columnindex = clmni
rowindex = 0
nm_width = 0

arraynp = np.array(array)
l = arraynp.size

if l % columnindex == 0:
rowcheck = True
rowindex = int(l / columnindex)
else:
rowcheck = False

if rowcheck == False:
print(f'Invalid data: the number of array elements is not a multiple of the number of elements in the row')
elif rowcheck == True:
arraynp.shape = rowindex, columnindex
nm_width = len(str(rowindex))

for i in range(0, ((dgnmb+1)*columnindex + 2*columnindex) + nm_width+2):
s1 += chr(0x2550)
s2 += chr(0x2500)
print(chr(0x2554)+s1+chr(0x2557))

for i in range(0, rowindex):
int(i)
print(chr(0x2551), end=' ')
print(f'{i+1:0{nm_width}}', end=" ")

if i != rowindex-1:
for j in range(0, columnindex):
int(j)
print(f'{arraynp[i][j]:1.{dgnmb}f}', end=" ")
print(chr(0x2551))
print(chr(0x255F)+s2+chr(0x2562))
elif i == rowindex-1:
for j in range(0, columnindex):
int(j)
print(f'{arraynp[i][j]:1.{dgnmb}f}', end=" ")
print(chr(0x2551))
print(chr(0x255A)+s1+chr(0x255D)+chr(10))

arrout_opti(seq, 5, 9)